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Afternoon Data Analyst R Programming Jobs in Rochester, NY

Data Scientist II

Pittsford, NY · On-site

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will ...

Data Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will ...

Data Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will ...

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Bachelor's degree in Engineering, Data Science, Computer Science or a related field Experience working with SQL and data analysis tools Familiarity with Claude Code or Codex Exposure to integrating ...

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Digital Analyst Internships

Rochester, NY

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Geneseo, NY

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

AI Engineer - Manufacturing Data

Rochester, NY · On-site

$113K - $135K/yr

The AI Engineer role focuses on building data and AI capabilities in manufacturing, developing ... to ensure analytics are practically useful. • Build AI-powered agents and workflows using ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

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Afternoon Data Analyst R Programming information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do afternoon data analyst r programming jobs pay per year?

As of Jun 7, 2026, the average yearly pay for afternoon data analyst r programming in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Rochester, NY? The most popular types of Data Analyst R Programming jobs in Rochester, NY are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Rochester, NY look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Afternoon Data Analyst R Programming jobs? Cities near Rochester, NY with the most Afternoon Data Analyst R Programming job openings:

Marketing Data Science Specialist

superiorplus

Rochester, NY • On-site, Remote

Other

Retirement

Posted 11 days ago


Job description

Superior Propane is looking for an experienced Marketing Data Science Specialist with a strong career focus on data-driven problem-solving and collaboration. In this role (with room to grow), you’ll spend about 80% of your time working hands-on with data—designing and applying advanced analytics, AI, and predictive modeling to unearth insights for our marketing and customer-centric strategies. The remaining 20% will focus on stakeholder engagement: presenting clear, direct findings to various departments, directors, and occasionally senior leadership. If you thrive on detailed execution, can pivot quickly to solve real business problems, and enjoy guiding decision-makers with strategic storytelling, this could be your ideal fit.

Why join us:

Culture: Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.

Competitive Compensation: We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.

Flexibility: We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.

Technology: Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.

Employee Assistance Programs: We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.

Opportunity: A continuous focus on professional development with many opportunities for training & career growth.

Safety Focused: We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.

What you’ll do:

  • Advanced Analytics Projects: Lead at least one advanced analytics initiative in your first 6–12 months, applying predictive models or AI techniques to drive immediate, actionable insights.
  • Business Collaboration & Awareness: Partner closely with various stakeholders (Marketing, BI, IS), and other cross-functional groups to understand business challenges and uncover data-driven solutions.
  • Data Storytelling & Presentation: Transform complex analyses into compelling, concise narratives for both technical and non-technical audiences. Communicate results directly focusing on outcomes over process.
  • Customer Sentiment & Retention Insights: Own or influence metrics around customer sentiment, retention, and marketing strategy (e.g., segmentation, sentiment analysis, profile building).
  • Test-and-Learn Environment: Embrace a “problem solver” mindset: run experiments, refine approaches, and continually enhance business impact through iterative learning.
  • Process Expertise & Execution: Employ established analytics processes (data ingestion, cleaning, modeling) to efficiently deliver results while maintaining high data quality.
  • NA Collaboration: Operate effectively with a geographically dispersed team; coordinating project timelines, sharing updates, and ensuring all stakeholders remain engaged and informed.

What you bring:

  • A bachelor’s degree (or demonstrated hands on experience) in Data Science, Statistics, Social Sciences, Computer Science, Marketing, or a related field is preferred.
  • Professional courses or certification in advanced analytics, marketing analytics, or AI/ML tools would be an asset
  • Solid experience (minimum 3 years) working with analytics or big data, particularly around customer behavior, segmentation, or strategic marketing.
  • Proficiency in programming languages including SAS, Python, R, and/or SQL and data visualization tools such as Power BI, Tableau or Looker.
  • Familiarity with AI tools and the application of machine learning models (without needing to engineer deep ML solutions from scratch).
  • Ability to roll up your sleeves to handle data end-to-end, with the abilty to see the bigger picture purpose and scope of the project, and craft a strategic approach.
  • Curious and adept at quickly diagnosing business needs, using data creatively, and delivering immediate results.
  • Skilled at presenting outcomes in a straightforward, direct manner, making complex analytics understandable to non-technical colleagues.
  • Enjoy working with various teams (Marketing, BI, IS, Finance, Sales) to refine processes, spark innovation, and achieve mutual shared goals.
  • Organized, self-driven, and comfortable collaborating with stakeholders virtually
  • Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening.

Why Join Us?

  • Immediate Impact: Contribute to high-visibility analytics initiatives that directly influence customer sentiment, retention, and strategic marketing.
  • Growth Potential: As a mid-level role, this position offers the chance to evolve your career path, refine your skill set, and establish yourself as a leader in analytics-driven marketing.
  • Collaborative Culture: You’ll work cross-functionally with talented peers, refining ideas in a test-and-learn environment that values experimentation and swift problem-solving.

Salary: $85,000 - $105,000 annually (based on skills, experience, qualifications, and geography).

Eligible employees may earn performance-based incentives and have access to comprehensive benefits and retirement plans with matching contributions.

This posting is a replacement for an existing vacancy. We do not use AI tools in the selection process and do not request pay history.